Evidence map›Paper›PMID 36759279›Full record

GuidelineJournal of thrombosis and haemostasis : JTH2023

Assays to quantify fibrinolysis: strengths and limitations. Communication from the International Society on Thrombosis and Haemostasis Scientific and Standardization Committee on fibrinolysis.

Ze Zheng, Liliya Mukhametova, Michael B Boffa, Ernest E Moore, Alisa S Wolberg, Tetsumei Urano, Paul Y Kim

Open access · bronzeAbstract readReviewPractice Guideline
In one paragraph

Guideline in Journal of thrombosis and haemostasis : JTH, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Fibrin as a Versatile Fibrous Biopolymer.Sub-cellular biochemistry · 2026
    Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Protofibril packing density of individual fibers alters fibrinolysis.Research and practice in thrombosis and haemostasis · 2025
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 7 institutions in 4 countries.

Ze ZhengDepartment of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA; Blood Research Institute, Versiti Blood Center of Wisconsin, Milwaukee, Wisconsin, USA.
Liliya MukhametovaChemical Enzymology Department, Chemistry Faculty, Lomonosov Moscow State University, Moscow, Russia.
Michael B BoffaDepartment of Biochemistry and Robarts Research Institute, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada.
Ernest E MooreDepartment of Surgery, Ernest E. Moore Shock Trauma Center at Denver Health, University of Colorado, Denver, Colorado, USA.
Alisa S WolbergDepartment of Pathology and Laboratory Medicine and UNC Blood Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Tetsumei UranoDepartment of Medical Physiology, Hamamatsu University School of Medicine and Shizuoka Graduate University of Public Health, Hamamatsu, Japan.
Paul Y KimDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada; Thrombosis and Atherosclerosis Research Institute, Hamilton, Ontario, Canada. Electronic address: paul.kim@taari.ca.
Denver Health Medical Center · USHamamatsu University School of Medicine · JPLomonosov Moscow State University · RUMedical College of Wisconsin · USThrombosis and Atherosclerosis Research Institute · CAUniversity of North Carolina at Chapel Hill · USWestern University · CA

Funding

Fibrinogen and Factor XIII in Venous ThrombosisR01HL126974 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Alisa S. Wolberg · 2016 to 2026
$4.4M
NHLBI NIH HHS R01 HL126974
6 · The paper itself

Abstract

Fibrinolysis is a series of enzymatic reactions that degrade insoluble fibrin. Plasminogen activators convert the zymogen plasminogen to the active serine protease plasmin, which cleaves and solubilizes crosslinked fibrin clots into fibrin degradation products. The quantity and quality of fibrinolytic enzymes, their respective inhibitors, and clot structure determine overall fibrinolysis. The quantity of protein can be measured by antigen-based assays, and both quantity and quality can be assessed using functional assays. Furthermore, variations of commonly used assays have been reported, which are tailored to address the role(s) of specific fibrinolytic factors and cellular elements (eg, platelets, neutrophils, and red blood cells). Although the concentration and/or activity of a protein can be quantified, how these individual components contribute to the overall fibrinolysis outcome can be challenging to determine. This difficulty is due to temporal changes within and around the thrombi during the clot breakdown, particularly the fibrin matrix structure, and composition. Furthermore, terms such as "fibrinolytic activity/potential," "plasminogen activation," and "plasmin activity" are often used interchangeably despite having different definitions. The purpose of this review is to 1) summarize the assays measuring fibrinolysis activity and potential, 2) facilitate the interpretation of data generated by these assays, and 3) summarize the strengths and limitations of these assays.

Indexed as

FibrinolysisThrombosisCommunicationFibrinFibrinolysinHumansPlasminogenSerine ProteasesFibrinFibrinolysinPlasminogenSerine ProteasesELISAenzyme assaysfibrinolysisplasminogenplasminogen activators

Identifiers

PMID36759279
PMCPMC10109242
OpenAlexW4316126899

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.